code: def frombuffer(
      buffer: bytes,
      dtype: Optional[np.dtype] = float,
      count: Optional[int] = -1,
      offset: Optional[int] = 0,
  ) -> np.ndarray:
      if isinstance(dtype, list):
          dtype = np.dtype(dtype[0])
      return np.frombuffer(
          buffer, dtype=dtype, count=count, offset=offset
      )
  
imports: from numbers import Number
  from typing import Union, Optional, List, Sequence, Tuple
  import numpy
  import ivy
  from ivy.functional.ivy.creation import _asarray_to_native_arrays_and_back, _asarray_infer_device, _asarray_infer_dtype, _asarray_handle_nestable, NestedSequence, SupportsBufferProtocol, _asarray_inputs_to_native_shapes
  from .data_type import as_native_dtype
label_desc: Use image node_id 20 for calling a global function with example usage: frombuffer(buffer, dtype, count, offset) and returns: np